Mobus
Mobus is an MCP server for dataset discovery and research.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
- Search Datasets: Search for datasets across multiple platforms (Kaggle, Hugging Face, data.gov, Zenodo, OpenML, UCI, Google, AWS, World Bank, WHO, NASA, Eurostat, Socrata, Papers with Code, Semantic S
- Get Dataset Details: Get detailed metadata for a specific dataset (columns, row count, files, popularity)
- Preview Dataset: Preview the first N rows of a dataset to inspect its data before downloading
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Mobus is an MCP server for dataset discovery and research. One connector searches Kaggle, Hugging Face, data.gov, Zenodo, OpenML, NASA, WHO, World Bank, Eurostat, and many other catalogs. Use it to find datasets, inspect metadata, preview rows, build quick charts, check licenses, compare options, and generate citations. All without leaving your chat.
Список инструментов сервера (15)
Технические названия из tools/list. Нужны только разработчикам.
| search_datasets | Search for datasets across multiple platforms (Kaggle, Hugging Face, data.gov, Zenodo, OpenML, UCI, Google, AWS, World Bank, WHO, NASA, Eurostat, Socrata, Papers with Code, Semantic Scholar, arXiv, Census.gov, SEC EDGAR, Crossref, Econdb, Harvard Dataverse) with optional filters |
| get_dataset_details | Get detailed metadata for a specific dataset (columns, row count, files, popularity) |
| preview_dataset | Preview the first N rows of a dataset to inspect its data before downloading |
| compare_datasets | Compare 2-5 datasets side by side: columns, sizes, licenses, and column overlap |
| check_compatibility | Check if a dataset's schema matches your expected columns and types |
| find_similar | Find datasets similar to a given dataset based on tags, name, and description |
| generate_citation | Generate a formatted citation (BibTeX, APA, or Chicago) for a dataset |
| assess_quality | Assess data quality: missing values, duplicates, basic statistics, and date freshness |
| check_license | Check if a dataset's license permits a specific use case (commercial, academic, internal, redistribution) |
| watch_query | Save, remove, list, or check dataset search watches for monitoring new datasets |
| visualize_dataset | Generate an interactive ECharts dashboard to explore a dataset visually — charts, filters, table view, and export. In remote mode returns a URL; locally opens in the browser. |
| find_research_datasets | Find datasets used in academic research for a given topic — searches Papers with Code tasks and datasets, enriches with Semantic Scholar paper metadata, and cross-references against all other DAV sources |
| get_dataset_provenance | Get the full research provenance of a dataset: which papers used it, how popular it is, venue/year/field breakdowns, top-cited papers, trend over time, and the paper that introduced it |
| trace_citation_graph | Trace the citation chain for a dataset: find the introducing paper, then follow citations to build a chronological narrative of how the dataset has been used, extended, and benchmarked over time |
| get_dataset_lineage | Get the family tree of a dataset: find all variants, extensions, subsets, and derivative datasets (e.g. ImageNet → ImageNet-V2, ImageNet-Sketch, ImageNet-A) using name matching, citation graph analysis, and abstract-based lineage detection |